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    SMR 2012 - 1st International Workshop on Social Media Mining, Retrieval and Recommendation Technologies

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    Website adma2012.njue.edu.cn | Want to Edit it Edit Freely

    Category SMR 2012

    Deadline: August 10, 2012 | Date: December 15, 2012

    Venue/Country: Nanjing, China

    Updated: 2012-07-14 14:14:40 (GMT+9)

    Call For Papers - CFP

    1st International Workshop on Social Media Mining, Retrieval and Recommendation Technologies (SMR 2012)

    With the emergence of Web2.0, the Web is ever increasing in size, variety, and complexity. It involves different types of digital social media such as text, music, pictures, and video. Managing such contents also involves a board range of technologies such as data / Web mining, Web services, semantic Web, ontology, databases, information retrieval, and many others. Such complexities lead to many opportunities and novel applications together with many challenges.

    SMR 2012 will be held in conjunction with ADMA 2012 conference and invites original research contribution on Web-based contents management technologies. SMR 2012 aims at bringing together researchers in different fields related to social media information processing who have a common interest in interdisciplinary research. The workshop provides a forum where researchers and practitioners can share and exchange their knowledge and experience.

    The SMR 2012 topics include but are certainly not limited to the following areas:

    * Contents modeling and organization of social media

    * Requirements elicitation, design, and implementation of social media content management systems

    * Contents-based social media management

    * Social media information retrieval on the Web

    * Social media contents mining

    * Influence propagation in social networks

    *Anomaly detection in social networks

    * Service-oriented architecture and cloud computing for social media contents management

    * Semantic Web and ontology for social media contents management

    * Content integration, sharing, and distribution on the Web

    * Privacy, security, and intellectual property of social media contents

    * Contents management for mobile and ubiquitous computing

    * Context / location sensitive / intelligent content recommendation

    * Correlation retrieval for social media

    * Contents management for e-Learning and knowledge management

    * Uncertainty of social media

    The organizers of this tentative event have full support from their respective organizations. The workshop co-chairs have been actively involved in the program committees and the organization of many conferences and workshops. To attract more submissions of high-quality paper, the organizers are actively seeking for a special issue on an appropriate journal for post-conference publication activities after this proposal is accepted.

    Brief explanation on why the proposed workshop is of interest to the ADMA 2012 attendees

    Social network analysis has drawn much attention in the area of data mining. Mining and retrieving knowledge from social media for enhancing recommendation becomes an interesting and chanlleging topic of advanced data mining. So, we believe that the topic of the proposed workshop conforms to the theme of the main conference.

    The length and format of the workshop

    Half-day or full day depending on the number of submissions, i.e., 7-15 accepted papers.

    We may also want to include a workshop keynote speech.

    Expected number of attendees: 20-30 (because the conference registration includes that of the workshops)

    Tentative Important dates

    Workshop paper due: August 15, 2012

    Notification of paper acceptance: September 16, 2012

    Camera-ready submission due: September 30, 2012

    Workshop date: December 15, 2012

    Organizers

    Victoria University, Australia

    Nanjing University of Finance and Economy, China

    Zhejiang Gongshang University, China


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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